AWS Introduces Loom: An Open-Source Platform for Enterprise AI Agent Governance
Amazon Web Services (AWS) has unveiled Loom, an open-source reference platform designed to facilitate the governance of AI agents at an enterprise scale. Hosted on AWS Labs, Loom provides a foundational framework for organizations looking to manage and secure their AI agent deployments effectively. The platform is built upon AWS's Strands Agents and Bedrock AgentCore Runtime, leveraging existing robust technologies for agent orchestration. A key feature of Loom is its implementation of RFC 8693 token exchange, which enables secure identity propagation across delegated actor chains, ensuring proper authentication and authorization throughout complex agent interactions. Furthermore, Loom supports configuration-driven deployments, eliminating the need for runtime code generation and simplifying the deployment process. Mandatory tagging is also enforced, enhancing resource management and compliance. AWS emphasizes that Loom serves as an example and a reference architecture rather than a fully managed service, offering a blueprint for enterprises to build their own scalable AI agent governance solutions.
Read the full article on InfoQ
#aws #ai #opensource #governance #enterpriseai #cloud #from_code_to_creation
@From_Code_to_Creation
Amazon Web Services (AWS) has unveiled Loom, an open-source reference platform designed to facilitate the governance of AI agents at an enterprise scale. Hosted on AWS Labs, Loom provides a foundational framework for organizations looking to manage and secure their AI agent deployments effectively. The platform is built upon AWS's Strands Agents and Bedrock AgentCore Runtime, leveraging existing robust technologies for agent orchestration. A key feature of Loom is its implementation of RFC 8693 token exchange, which enables secure identity propagation across delegated actor chains, ensuring proper authentication and authorization throughout complex agent interactions. Furthermore, Loom supports configuration-driven deployments, eliminating the need for runtime code generation and simplifying the deployment process. Mandatory tagging is also enforced, enhancing resource management and compliance. AWS emphasizes that Loom serves as an example and a reference architecture rather than a fully managed service, offering a blueprint for enterprises to build their own scalable AI agent governance solutions.
Read the full article on InfoQ
#aws #ai #opensource #governance #enterpriseai #cloud #from_code_to_creation
@From_Code_to_Creation
InfoQ
AWS Releases Loom, an Open-Source Reference Platform for Governing AI Agents at Enterprise Scale
AWS released Loom, an open-source reference platform on AWS Labs for governing AI agents at scale. Built on Strands Agents and Bedrock AgentCore Runtime, it implements RFC 8693 token exchange for identity propagation through delegated actor chains, config…